scholarly journals Flight guardian: A common avionics architecture for collision avoidance and safe emergency landing for unmanned aerial systems

2012 ◽  
Author(s):  
L. Mejias ◽  
D. Greer
Keyword(s):  
Collision Avoidance ◽  
Unmanned Aerial Systems ◽  
Aerial Systems

Collision Avoidance System using Stereoscopic Vision for Unmanned Aerial Systems

2016 ◽  
Author(s):  
Subodh Bhandari ◽  
Thirupathi Srinivasan ◽  
Justin Gray ◽  
Mark Torstenbo ◽  
Jorge Corral ◽  
...  
Keyword(s):  
Collision Avoidance ◽  
Stereoscopic Vision ◽  
Unmanned Aerial Systems ◽  
Collision Avoidance System ◽  
Aerial Systems

scholarly journals A Review on IoT Deep Learning UAV Systems for Autonomous Obstacle Detection and Collision Avoidance

2019 ◽  
Vol 11 (18) ◽  
pp. 2144 ◽  
Author(s):  
Paula Fraga-Lamas ◽  
Lucía Ramos ◽  
Víctor Mondéjar-Guerra ◽  
Tiago M. Fernández-Caramés
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Collision Avoidance ◽  
Large Scale ◽  
Obstacle Detection ◽  
Unmanned Aerial Systems ◽  
Promising Alternative ◽  
Communication Architectures ◽  
Recent Developments ◽  
Aerial Systems

Advances in Unmanned Aerial Vehicles (UAVs), also known as drones, offer unprecedented opportunities to boost a wide array of large-scale Internet of Things (IoT) applications. Nevertheless, UAV platforms still face important limitations mainly related to autonomy and weight that impact their remote sensing capabilities when capturing and processing the data required for developing autonomous and robust real-time obstacle detection and avoidance systems. In this regard, Deep Learning (DL) techniques have arisen as a promising alternative for improving real-time obstacle detection and collision avoidance for highly autonomous UAVs. This article reviews the most recent developments on DL Unmanned Aerial Systems (UASs) and provides a detailed explanation on the main DL techniques. Moreover, the latest DL-UAV communication architectures are studied and their most common hardware is analyzed. Furthermore, this article enumerates the most relevant open challenges for current DL-UAV solutions, thus allowing future researchers to define a roadmap for devising the new generation affordable autonomous DL-UAV IoT solutions.

LIGHTER-THAN-AIR (LTA) UNMANNED AERIAL SYSTEM (UAS) CARRIER CONCEPT FOR SURVAILLANCE AND DISASTER MANAGEMENT

2019 ◽  
Vol 3 ◽  
pp. 1255
Author(s):  
Ahmad Salahuddin Mohd Harithuddin ◽  
Mohd Fazri Sedan ◽  
Syaril Azrad Md Ali ◽  
Shattri Mansor ◽  
Hamid Reza Jifroudi ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Disaster Management ◽  
Unmanned Aerial Systems ◽  
Unmanned Aerial System ◽  
Border Control ◽  
Aerial Vehicles ◽  
Operational Safety ◽  
In Situ Methods ◽  
Aerial Systems

Unmanned aerial systems (UAS) has many advantages in the fields of SURVAILLANCE and disaster management compared to space-borne observation, manned missions and in situ methods. The reasons include cost effectiveness, operational safety, and mission efficiency. This has in turn underlined the importance of UAS technology and highlighted a growing need in a more robust and efficient unmanned aerial vehicles to serve specific needs in SURVAILLANCE and disaster management. This paper first gives an overview on the framework for SURVAILLANCE particularly in applications of border control and disaster management and lists several phases of SURVAILLANCE and service descriptions. Based on this overview and SURVAILLANCE phases descriptions, we show the areas and services in which UAS can have significant advantage over traditional methods.

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